Nicholas Vasilakos

The long-term impact of wind power on electricity prices and generating capacity

This paper uses a market equilibrium model to calculate how the mix of generating capacity would change if large amounts of intermittent renewables are built in Great Britain, and what this means for operating patterns and the distribution of prices over time. If generators bid their marginal costs, we find that the changes to the capacity mix are much greater than the changes to the pattern of prices. Thermal capacity falls only slightly in response to the extra wind capacity, and there is a shift towards power stations with higher variable costs (but lower fixed costs). The changes to the pattern of prices, once capacity has adjusted, are relatively small. In an oligopolistic setting, strategic generators will choose lower levels of capacity. If wind output does not receive the market price, then mark-ups on thermal generation will be lower in a system with large amounts of wind power.

Storing Wind for a Rainy Day: What Kind of Electricity Does Denmark Export?

Physical laws mean that it is generally impossible to identify which power stations are exporting to another country, but economic logic offers strong clues. On windy days, Denmark tends to export electricity to its neighbours, and to import power on calm days. Storing electricity in this way thus allows the country to deal with the intermittency of wind generation. We show that this kind of behaviour is theoretically optimal when a region with wind and thermal generation can trade with one based on hydro power. However, annual trends in Denmark’s trade follow its output of thermal generation and are inversely related to Nordic production of hydro power and the amount of water available to Scandinavian generators, with no correlation with wind generation. We estimate the cost of volatility in Denmark’s wind output to equal between 4% and 8% of its market value.

Divide and Conquer?

We use a k-means clustering algorithm to partition national electricity demand data for Great Britain and apply a novel profiling method to obtain a set of representative demand profiles for each year over the period 1994-2005. We then use a simulated dispatch model to assess the accuracy of these daily profiles against the complete dataset on a year-to-year basis. We find that the use of data partitioning does not compromise the accuracy of the simulations for most of the main variables considered, even when simulating significant intermittent wind generation. This technique yields 50-fold gains in terms of computational speed, allowing complex Monte Carlo simulations and sensitivity analyses to be performed with modest computing resource.

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This paper discusses the literature on the established determinants of productivity in the retail sector. It also draws attention to some neglected strands of research which provide useful insights into strategies that could allow productivity enhancements in this area of the economy. To date, very few attempts have been made to integrate different specialisms in order to explain what drives productivity in retail. Here this paper rectifies this omission by putting together studies from economics, geography, knowledge management and employment studies. It is the authors’ view that quantitative studies of retail productivity should focus on total factor productivity in retailing as the result of competition/composition effects, planning regulations, information and communications technology, the multinational operation element and workforce skills. Further, the fact that retail firms possess advantages that are transferable between locations suggests that investment in strategies enhancing the transfer of explicit and tacit knowledge between and within businesses are crucial to achieve productivity gains.

-Means Clustering of Demand Data Allows Rapid and Accurate Simulations of the British Electricity System

This paper discusses the impact of foreign-ownership presence on the productivity performance of British-owned domestic retailers. In particular, we analyse the existence of productivity spillovers, in the form of knowledge transfer, by using establishment-level data from the Annual Respondents Database over the period 1997-2003. The results confirm the presence of such spillovers and highlight their positive and significant impact on the productivity of domestic firms, although these spillovers are mostly confined to the region in which foreign subsidiaries locate. There is also evidence that the productivity benefit from regional foreign direct investment spillovers increases with the absorptive capacity of domestic retailers.